Johnson & Johnson (JNJ) Interest Expenses (2009 - 2026)
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Analysis
Johnson & Johnson (JNJ) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | - |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 133.09 Bn | 105.09 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 217.00 Mn |
| Jun 28, 2026 | 281.00 Mn |
| Mar 29, 2026 | 272.00 Mn |
| Dec 28, 2025 | 214.00 Mn |
| Sep 28, 2025 | 245.00 Mn |
| Jun 29, 2025 | 308.00 Mn |
| Mar 30, 2025 | 204.00 Mn |
| Dec 29, 2024 | 137.00 Mn |
| Sep 29, 2024 | 193.00 Mn |
| Jun 30, 2024 | 270.00 Mn |
| Mar 31, 2024 | 155.00 Mn |
| Dec 31, 2023 | 151.00 Mn |
| Oct 1, 2023 | 192.00 Mn |
| Jul 2, 2023 | 217.00 Mn |
| Apr 2, 2023 | 212.00 Mn |
| Jan 1, 2023 | 153.00 Mn |
| Oct 2, 2022 | 51.00 Mn |
| Jul 3, 2022 | 38.00 Mn |
| Apr 3, 2022 | 10.00 Mn |
| Oct 3, 2021 | 20.00 Mn |
API Access
Johnson & Johnson Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "JNJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();